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A variable step-size strategy for distributed estimation over adaptive networks
A lot of work has been done recently to develop algorithms that utilize the distributed structure of an ad hoc wireless sensor network to estimate a certain parameter of interest. One such algorithmExpand
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Diffusion normalized least mean squares over wireless sensor networks
Recently, distributed adaptive algorithms have been proposed to solve the problem of estimation over distributed networks. In a diffusion protocol, each node in the network function as an individualExpand
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Rayleigh fading channel estimation using MMSE estimator for MIMO-CDMA system
In this paper, we are proposing a pilot-aided channel estimator for the multiple-input multiple-output (MIMO) direct-sequence code-division multiple access (DS-CDMA) communication systems based onExpand
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Cooperative parameter estimation using PSO in ad-hoc WSN
In this work, a particle swarm optimization (PSO) algorithm is used to cooperatively estimate a monitored parameter by sensor nodes in an ad-hoc wireless sensor network (WSN). In the proposedExpand
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A noise‐constrained algorithm for estimation over distributed networks
SUMMARY Much research has been devoted recently to the development of algorithms to utilize the distributed structure of an ad hoc wireless sensor network for the estimation of a certain parameterExpand
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Variable step-size least mean square algorithms over adaptive networks
This paper presents two new variations for algorithms over adaptive networks using a variable step-size strategy in order to enhance the overall performance. Variable step-size least mean squareExpand
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A new LMS strategy for sparse estimation in adaptive networks
  • M. Saeed, A. Sheikh
  • Computer Science
  • IEEE 23rd International Symposium on Personal…
  • 29 November 2012
Recently several algorithms have been developed to exploit the distributive nature of an ad hoc wireless sensor network to estimate a certain parameter of interest. However, no work has been done toExpand
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Self-Organizing Hierarchical Particle Swarm Optimization of Correlation Filters for Object Recognition
Advanced correlation filters are an effective tool for target detection within a particular class. Most correlation filters are derived from a complex filter equation leading to a closed form filterExpand
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A new Variable step-Size strategy for adaptive networks
  • M. Saeed, A. Zerguine
  • Computer Science
  • Conference Record of the Forty Fifth Asilomar…
  • 1 November 2011
Several algorithms have been developed over the last few years that utilize the distributed nature of an ad hoc wireless sensor network to estimate a certain parameter of interest. One such algorithmExpand
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Total synthesis and anti-leishmanial activity of R-(−)-argentilactone
Abstract Starting from the commercially available d -glucal ( 2 ), the naturally occurring α,β-unsaturated δ-lactone argentilactone ( 1a ) has been synthesized. The important step is theExpand
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